Peng Luan

489 citations
33 papers · 305 · h-index 10

Impact in

    • Animal Nutrition and Physiology
    • Livestock and Poultry Management
    • Meat and Animal Product Quality
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic and phenotypic traits in livestock 11
    • Genetic Mapping and Diversity in Plants and Animals 7
    • Animal Genetics and Reproduction 3
    • Circular RNAs in diseases 2
    • Peroxisome Proliferator-Activated Receptors 2

Peng Luan

29 papers receiving 299 citations

Peers

Peng Luan
Comparison fields: 5 of 59
  • Animal Science and Zoology 96
  • Genetics 121
  • Cancer Research 57
  • Numerical Analysis 14
  • Molecular Biology 87
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Yunhan Yang China
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Citations per field
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Yunhan Yang · 1×
Citations per year

Countries citing papers authored by Peng Luan

Since Specialization
Citations

This map shows the geographic impact of Peng Luan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peng Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Luan more than expected).

Fields of papers citing papers by Peng Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Luan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peng Luan. The network helps show where Peng Luan may publish in the future.

Co-authors

The 25 scholars most cited alongside Peng Luan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peng Luan Line = papers co-authored together Peng Luan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202230
3 202029
4 200927
5 201524
6 202220
7 202219
8 201512
9 202311
10 201910
11 20249
12 20199
13 20237
14 20227
15 20186
16 20216
17 20226
18 20215
19 20205
20 20165

About Peng Luan

Peng Luan is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Cancer Research and Physiology, having authored 33 papers that have together received 305 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Livestock and Poultry Management (4 papers), Cancer-related molecular mechanisms research (3 papers), Animal Genetics and Reproduction (3 papers), Circular RNAs in diseases (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Animal Science and Zoology (96 citations), Genetics (121 citations), Cancer Research (57 citations), Numerical Analysis (14 citations) and Molecular Biology (87 citations). Peng Luan has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Zhiping Cao, Hui Li, Yumao Li, Hui Zhang, Yanping Chen, Zuliang Lu, Li Leng, Fan Xiao, Xinyang Zhang and Shouzhi Wang. Their work appears in journals such as Poultry Science, Animals, Journal of Animal Breeding and Genetics, Journal of Agricultural and Food Chemistry and Frontiers in Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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